1 Department of Experimental Psychology, University of Cambridge, UK.
Trends Hear. 2019 Jan-Dec;23:2331216518822206. doi: 10.1177/2331216518822206.
The objective was to determine the effects of two frequency-lowering algorithms (frequency transposition, FT, and frequency compression, FC) on audibility, speech identification, and subjective benefit, for people with high-frequency hearing loss and extensive dead regions (DRs) in the cochlea. A single-blind randomized crossover design was used. FT and FC were compared with each other and with a control condition (denoted 'Control') without frequency lowering, using hearing aids that were otherwise identical. Data were collected after at least 6 weeks of experience with a condition. Outcome measures were audibility, scores for consonant identification, scores for word-final /s, z/ detection ( S test), sentence-in-noise intelligibility, and a questionnaire assessing self-perceived benefit (Spatial and Qualities of Hearing Scale). Ten adults with steeply sloping high-frequency hearing loss and extensive DRs were tested. FT and FC improved the audibility of some high-frequency sounds for 7 and 9 participants out of 10, respectively. At the group level, performance for FT and FC did not differ significantly from that for Control for any of the outcome measures. However, the pattern of consonant confusions varied across conditions. Bayesian analysis of the confusion matrices revealed a trend for FT to lead to more consistent error patterns than FC and Control. Thus, FT may have the potential to give greater benefit than Control or FC following extended experience or training.
目的是确定两种频率降低算法(频率转换,FT 和频率压缩,FC)对高频听力损失和耳蜗内广泛死区(DR)患者的可听度、语音识别和主观获益的影响。采用单盲随机交叉设计。FT 和 FC 彼此以及与不进行频率降低的对照条件(表示为“Control”)进行了比较,使用的助听器在其他方面都是相同的。在至少 6 周的体验后收集数据。结果测量包括可听度、辅音识别分数、词末/s,z/检测分数(S 测试)、噪声中句子的可懂度以及评估自我感知益处的问卷(空间和听觉质量量表)。对 10 名高频听力损失陡峭且有广泛 DR 的成年人进行了测试。FT 和 FC 分别使 7 名和 9 名参与者中的一些高频声音的可听度得到了改善。在组水平上,对于任何结果测量,FT 和 FC 的表现均与 Control 无显著差异。然而,混淆矩阵的模式在不同条件下有所不同。混淆矩阵的贝叶斯分析显示,FT 比 FC 和 Control 更有可能导致更一致的错误模式。因此,在经过扩展的体验或培训后,FT 可能比 Control 或 FC 具有更大的潜在获益。